Over the past decades, the main methods for tackling this task can be roughly classified into two categories: model-based methods and data-centered methods. As discussed in a recent review paper [1]}, the performance of model-based methods could change dramatically when their core assumptions are not met. On the other hand, data-centered methods rely heavily on the availability of professionally produced or recorded multi-track data, which is hard to come by due to copyright issues.
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